Profiling Report

Dataset statistics

Number of variables	12
Number of observations	10000
Missing cells	9465
Missing cells (%)	7.9%
Duplicate rows	614
Duplicate rows (%)	6.1%
Total size in memory	937.6 KiB
Average record size in memory	96.0 B

Variable types

Text	9
Numeric	1
Categorical	2

Alerts

Dataset has 614 (6.1%) duplicate rows	Duplicates
`company_type` has 445 (4.5%) missing values	Missing
`employee_count` has 254 (2.5%) missing values	Missing
`ownership_status` has 7228 (72.3%) missing values	Missing
`company_age` has 719 (7.2%) missing values	Missing
`head_quarters` has 819 (8.2%) missing values	Missing

Reproduction

Analysis started	2024-11-09 18:51:40.522933
Analysis finished	2024-11-09 18:51:44.519176
Duration	4 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

name
Text

Distinct	9368
Distinct (%)	93.7%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	64
Median length	50
Mean length	17.3459
Min length	2

Characters and Unicode

Total characters	173459
Distinct characters	87
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8736 ?
Unique (%)	87.4%

Sample

1st row	TCS
2nd row	Accenture
3rd row	Cognizant
4th row	Wipro
5th row	ICICI Bank

Value	Count	Frequency (%)
india	526	2.2%
services	437	1.8%
solutions	407	1.7%
technologies	379	1.6%
	336	1.4%
group	281	1.2%
industries	242	1.0%
engineering	180	0.8%
systems	167	0.7%
and	164	0.7%
Other values (9201)	20511	86.8%

Most occurring characters

Value	Count	Frequency (%)
e	14100	8.1%
	13632	7.9%
a	12815	7.4%
i	11740	6.8%
n	11319	6.5%
o	10442	6.0%
r	9705	5.6%
t	9190	5.3%
s	8780	5.1%
l	6653	3.8%
Other values (77)	65083	37.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	173459	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	14100	8.1%
	13632	7.9%
a	12815	7.4%
i	11740	6.8%
n	11319	6.5%
o	10442	6.0%
r	9705	5.6%
t	9190	5.3%
s	8780	5.1%
l	6653	3.8%
Other values (77)	65083	37.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	173459	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	14100	8.1%
	13632	7.9%
a	12815	7.4%
i	11740	6.8%
n	11319	6.5%
o	10442	6.0%
r	9705	5.6%
t	9190	5.3%
s	8780	5.1%
l	6653	3.8%
Other values (77)	65083	37.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	173459	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	14100	8.1%
	13632	7.9%
a	12815	7.4%
i	11740	6.8%
n	11319	6.5%
o	10442	6.0%
r	9705	5.6%
t	9190	5.3%
s	8780	5.1%
l	6653	3.8%
Other values (77)	65083	37.5%

rating
Real number (ℝ)

Distinct	34
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8625

Minimum	1.2
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1.2
5-th percentile	3.2
Q1	3.6
median	3.9
Q3	4.1
95-th percentile	4.4
Maximum	5
Range	3.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.39013968
Coefficient of variation (CV)	0.10100704
Kurtosis	1.4444985
Mean	3.8625
Median Absolute Deviation (MAD)	0.2
Skewness	-0.62235497
Sum	38625
Variance	0.15220897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
4	1129	11.3%
3.9	1120	11.2%
4.1	1098	11.0%
3.8	1047	10.5%
3.7	882	8.8%
4.2	854	8.5%
3.6	617	6.2%
3.5	580	5.8%
4.3	557	5.6%
3.4	404	4.0%
Other values (24)	1712	17.1%

Value	Count	Frequency (%)
1.2	1	< 0.1%
1.6	2	< 0.1%
1.9	2	< 0.1%
2	3	< 0.1%
2.1	4	< 0.1%
2.2	5	0.1%
2.3	5	0.1%
2.4	12	0.1%
2.5	7	0.1%
2.6	22	0.2%

Value	Count	Frequency (%)
5	7	0.1%
4.9	24	0.2%
4.8	45	0.4%
4.7	73	0.7%
4.6	111	1.1%
4.5	194	1.9%
4.4	320	3.2%
4.3	557	5.6%
4.2	854	8.5%
4.1	1098	11.0%

company_type
Text

Missing

Distinct	90
Distinct (%)	0.9%
Missing	445
Missing (%)	4.5%
Memory size	78.3 KiB

Length

Max length	53
Median length	28
Mean length	15.535322
Min length	3

Characters and Unicode

Total characters	148440
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	IT Services & Consulting
2nd row	IT Services & Consulting
3rd row	IT Services & Consulting
4th row	IT Services & Consulting
5th row	Banking

Value	Count	Frequency (%)
	3555	17.1%
services	1680	8.1%
consulting	1395	6.7%
it	1332	6.4%
engineering	496	2.4%
construction	496	2.4%
auto	455	2.2%
components	455	2.2%
industrial	445	2.1%
machinery	401	1.9%
Other values (123)	10122	48.6%

Most occurring characters

Value	Count	Frequency (%)
n	13372	9.0%
e	12691	8.5%
i	12455	8.4%
	11277	7.6%
t	9807	6.6%
r	8233	5.5%
a	7657	5.2%
o	7621	5.1%
s	7484	5.0%
c	6723	4.5%
Other values (42)	51120	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	148440	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	13372	9.0%
e	12691	8.5%
i	12455	8.4%
	11277	7.6%
t	9807	6.6%
r	8233	5.5%
a	7657	5.2%
o	7621	5.1%
s	7484	5.0%
c	6723	4.5%
Other values (42)	51120	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	148440	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	13372	9.0%
e	12691	8.5%
i	12455	8.4%
	11277	7.6%
t	9807	6.6%
r	8233	5.5%
a	7657	5.2%
o	7621	5.1%
s	7484	5.0%
c	6723	4.5%
Other values (42)	51120	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	148440	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	13372	9.0%
e	12691	8.5%
i	12455	8.4%
	11277	7.6%
t	9807	6.6%
r	8233	5.5%
a	7657	5.2%
o	7621	5.1%
s	7484	5.0%
c	6723	4.5%
Other values (42)	51120	34.4%

employee_count
Categorical

Missing

Distinct	10
Distinct (%)	0.1%
Missing	254
Missing (%)	2.5%
Memory size	78.3 KiB

1k-5k Employees	2665
201-500 Employees	2116
501-1k Employees	1845
51-200 Employees	1640
5k-10k Employees	504
Other values (5)	976

Length

Max length	20
Median length	17
Mean length	15.961625
Min length	14

Characters and Unicode

Total characters	155562
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1 Lakh+ Employees
2nd row	1 Lakh+ Employees
3rd row	1 Lakh+ Employees
4th row	1 Lakh+ Employees
5th row	1 Lakh+ Employees

Common Values

Value	Count	Frequency (%)
1k-5k Employees	2665	26.7%
201-500 Employees	2116	21.2%
501-1k Employees	1845	18.4%
51-200 Employees	1640	16.4%
5k-10k Employees	504	5.0%
10k-50k Employees	487	4.9%
11-50 Employees	315	3.1%
1-10 Employees	88	0.9%
1 Lakh+ Employees	55	0.5%
50k-1 Lakh Employees	31	0.3%
(Missing)	254	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
employees	9746	49.8%
1k-5k	2665	13.6%
201-500	2116	10.8%
501-1k	1845	9.4%
51-200	1640	8.4%
5k-10k	504	2.6%
10k-50k	487	2.5%
11-50	315	1.6%
1-10	88	0.4%
lakh	86	0.4%
Other values (2)	86	0.4%

Most occurring characters

Value	Count	Frequency (%)
e	19492	12.5%
0	13385	8.6%
1	11994	7.7%
	9832	6.3%
y	9746	6.3%
s	9746	6.3%
E	9746	6.3%
o	9746	6.3%
l	9746	6.3%
m	9746	6.3%
Other values (9)	42383	27.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	155562	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	19492	12.5%
0	13385	8.6%
1	11994	7.7%
	9832	6.3%
y	9746	6.3%
s	9746	6.3%
E	9746	6.3%
o	9746	6.3%
l	9746	6.3%
m	9746	6.3%
Other values (9)	42383	27.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	155562	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	19492	12.5%
0	13385	8.6%
1	11994	7.7%
	9832	6.3%
y	9746	6.3%
s	9746	6.3%
E	9746	6.3%
o	9746	6.3%
l	9746	6.3%
m	9746	6.3%
Other values (9)	42383	27.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	155562	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	19492	12.5%
0	13385	8.6%
1	11994	7.7%
	9832	6.3%
y	9746	6.3%
s	9746	6.3%
E	9746	6.3%
o	9746	6.3%
l	9746	6.3%
m	9746	6.3%
Other values (9)	42383	27.2%

ownership_status
Categorical

Missing

Distinct	9
Distinct (%)	0.3%
Missing	7228
Missing (%)	72.3%
Memory size	78.3 KiB

Public	1778
Startup	340
Forbes Global 2000	282
Fortune India 500	116
Conglomerate	96
Other values (4)	160

Length

Max length	18
Median length	6
Mean length	8.2316017
Min length	3

Characters and Unicode

Total characters	22818
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public
2nd row	Public
3rd row	Forbes Global 2000
4th row	Public
5th row	Public

Common Values

Value	Count	Frequency (%)
Public	1778	17.8%
Startup	340	3.4%
Forbes Global 2000	282	2.8%
Fortune India 500	116	1.2%
Conglomerate	96	1.0%
Indian Unicorn	78	0.8%
Central	43	0.4%
State	30	0.3%
MNC	9	0.1%
(Missing)	7228	72.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
public	1778	48.8%
startup	340	9.3%
forbes	282	7.7%
global	282	7.7%
2000	282	7.7%
fortune	116	3.2%
india	116	3.2%
500	116	3.2%
conglomerate	96	2.6%
indian	78	2.1%
Other values (4)	160	4.4%

Most occurring characters

Value	Count	Frequency (%)
l	2481	10.9%
b	2342	10.3%
u	2234	9.8%
i	2050	9.0%
c	1856	8.1%
P	1778	7.8%
0	1078	4.7%
t	995	4.4%
a	985	4.3%
r	955	4.2%
Other values (19)	6064	26.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	22818	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	2481	10.9%
b	2342	10.3%
u	2234	9.8%
i	2050	9.0%
c	1856	8.1%
P	1778	7.8%
0	1078	4.7%
t	995	4.4%
a	985	4.3%
r	955	4.2%
Other values (19)	6064	26.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	22818	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	2481	10.9%
b	2342	10.3%
u	2234	9.8%
i	2050	9.0%
c	1856	8.1%
P	1778	7.8%
0	1078	4.7%
t	995	4.4%
a	985	4.3%
r	955	4.2%
Other values (19)	6064	26.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	22818	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	2481	10.9%
b	2342	10.3%
u	2234	9.8%
i	2050	9.0%
c	1856	8.1%
P	1778	7.8%
0	1078	4.7%
t	995	4.4%
a	985	4.3%
r	955	4.2%
Other values (19)	6064	26.6%

company_age
Text

Missing

Distinct	216
Distinct (%)	2.3%
Missing	719
Missing (%)	7.2%
Memory size	78.3 KiB

Length

Max length	14
Median length	12
Mean length	11.970477
Min length	11

Characters and Unicode

Total characters	111098
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	0.3%

Sample

1st row	55 years old
2nd row	34 years old
3rd row	29 years old
4th row	78 years old
5th row	29 years old

Value	Count	Frequency (%)
years	9281	33.3%
old	9281	33.3%
16	320	1.1%
17	280	1.0%
23	273	1.0%
15	253	0.9%
24	236	0.8%
13	236	0.8%
19	231	0.8%
27	230	0.8%
Other values (208)	7222	25.9%

Most occurring characters

Value	Count	Frequency (%)
	18562	16.7%
e	9281	8.4%
y	9281	8.4%
s	9281	8.4%
o	9281	8.4%
a	9281	8.4%
r	9281	8.4%
l	9281	8.4%
d	9281	8.4%
1	3762	3.4%
Other values (9)	14526	13.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	111098	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	18562	16.7%
e	9281	8.4%
y	9281	8.4%
s	9281	8.4%
o	9281	8.4%
a	9281	8.4%
r	9281	8.4%
l	9281	8.4%
d	9281	8.4%
1	3762	3.4%
Other values (9)	14526	13.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	111098	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	18562	16.7%
e	9281	8.4%
y	9281	8.4%
s	9281	8.4%
o	9281	8.4%
a	9281	8.4%
r	9281	8.4%
l	9281	8.4%
d	9281	8.4%
1	3762	3.4%
Other values (9)	14526	13.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	111098	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	18562	16.7%
e	9281	8.4%
y	9281	8.4%
s	9281	8.4%
o	9281	8.4%
a	9281	8.4%
r	9281	8.4%
l	9281	8.4%
d	9281	8.4%
1	3762	3.4%
Other values (9)	14526	13.1%

head_quarters
Text

Missing

Distinct	1174
Distinct (%)	12.8%
Missing	819
Missing (%)	8.2%
Memory size	78.3 KiB

Length

Max length	39
Median length	26
Mean length	8.7600479
Min length	3

Characters and Unicode

Total characters	80426
Distinct characters	74
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	711 ?
Unique (%)	7.7%

Sample

1st row	Mumbai
2nd row	Dublin
3rd row	Teaneck. New Jersey.
4th row	Bangalore/Bengaluru
5th row	Mumbai

Value	Count	Frequency (%)
mumbai	1414	13.8%
new	484	4.7%
chennai	460	4.5%
delhi	435	4.2%
noida	415	4.0%
delhi/ncr	353	3.4%
pune	344	3.3%
bangalore/bengaluru	330	3.2%
gurgaon/gurugram	295	2.9%
kolkata	284	2.8%
Other values (1236)	5455	53.1%

Most occurring characters

Value	Count	Frequency (%)
a	11307	14.1%
e	6047	7.5%
u	5408	6.7%
n	5216	6.5%
r	5146	6.4%
i	5013	6.2%
o	3974	4.9%
d	3386	4.2%
l	3345	4.2%
b	2847	3.5%
Other values (64)	28737	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80426	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	11307	14.1%
e	6047	7.5%
u	5408	6.7%
n	5216	6.5%
r	5146	6.4%
i	5013	6.2%
o	3974	4.9%
d	3386	4.2%
l	3345	4.2%
b	2847	3.5%
Other values (64)	28737	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80426	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	11307	14.1%
e	6047	7.5%
u	5408	6.7%
n	5216	6.5%
r	5146	6.4%
i	5013	6.2%
o	3974	4.9%
d	3386	4.2%
l	3345	4.2%
b	2847	3.5%
Other values (64)	28737	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80426	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	11307	14.1%
e	6047	7.5%
u	5408	6.7%
n	5216	6.5%
r	5146	6.4%
i	5013	6.2%
o	3974	4.9%
d	3386	4.2%
l	3345	4.2%
b	2847	3.5%
Other values (64)	28737	35.7%

reviews
Text

Distinct	881
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	5
Median length	3
Mean length	2.73
Min length	2

Characters and Unicode

Total characters	27300
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	228 ?
Unique (%)	2.3%

Sample

1st row	66.7k
2nd row	42.5k
3rd row	38.4k
4th row	35.4k
5th row	30.9k

Value	Count	Frequency (%)
72	135	1.4%
67	134	1.3%
73	131	1.3%
69	130	1.3%
71	128	1.3%
70	125	1.2%
68	124	1.2%
77	119	1.2%
81	112	1.1%
75	110	1.1%
Other values (871)	8752	87.5%

Most occurring characters

Value	Count	Frequency (%)
1	5707	20.9%
2	3108	11.4%
7	2740	10.0%
8	2355	8.6%
3	2264	8.3%
9	2238	8.2%
6	2202	8.1%
4	1933	7.1%
0	1926	7.1%
5	1630	6.0%
Other values (2)	1197	4.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27300	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	5707	20.9%
2	3108	11.4%
7	2740	10.0%
8	2355	8.6%
3	2264	8.3%
9	2238	8.2%
6	2202	8.1%
4	1933	7.1%
0	1926	7.1%
5	1630	6.0%
Other values (2)	1197	4.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27300	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	5707	20.9%
2	3108	11.4%
7	2740	10.0%
8	2355	8.6%
3	2264	8.3%
9	2238	8.2%
6	2202	8.1%
4	1933	7.1%
0	1926	7.1%
5	1630	6.0%
Other values (2)	1197	4.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27300	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	5707	20.9%
2	3108	11.4%
7	2740	10.0%
8	2355	8.6%
3	2264	8.3%
9	2238	8.2%
6	2202	8.1%
4	1933	7.1%
0	1926	7.1%
5	1630	6.0%
Other values (2)	1197	4.4%

salaries
Text

Distinct	1219
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	6
Median length	3
Mean length	3.3006
Min length	1

Characters and Unicode

Total characters	33006
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	180 ?
Unique (%)	1.8%

Sample

1st row	734.8k
2nd row	513.4k
3rd row	496.8k
4th row	370.3k
5th row	136.1k

Value	Count	Frequency (%)
1.1k	331	3.3%
1.2k	265	2.6%
1.3k	240	2.4%
1.4k	205	2.1%
1k	193	1.9%
1.5k	168	1.7%
1.7k	159	1.6%
1.6k	144	1.4%
1.9k	97	1.0%
1.8k	97	1.0%
Other values (1209)	8101	81.0%

Most occurring characters

Value	Count	Frequency (%)
1	4103	12.4%
k	3720	11.3%
.	3302	10.0%
4	3015	9.1%
3	3009	9.1%
2	2845	8.6%
5	2774	8.4%
6	2540	7.7%
7	2312	7.0%
8	2106	6.4%
Other values (2)	3280	9.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	33006	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	4103	12.4%
k	3720	11.3%
.	3302	10.0%
4	3015	9.1%
3	3009	9.1%
2	2845	8.6%
5	2774	8.4%
6	2540	7.7%
7	2312	7.0%
8	2106	6.4%
Other values (2)	3280	9.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	33006	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	4103	12.4%
k	3720	11.3%
.	3302	10.0%
4	3015	9.1%
3	3009	9.1%
2	2845	8.6%
5	2774	8.4%
6	2540	7.7%
7	2312	7.0%
8	2106	6.4%
Other values (2)	3280	9.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	33006	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	4103	12.4%
k	3720	11.3%
.	3302	10.0%
4	3015	9.1%
3	3009	9.1%
2	2845	8.6%
5	2774	8.4%
6	2540	7.7%
7	2312	7.0%
8	2106	6.4%
Other values (2)	3280	9.9%

interviews
Text

Distinct	281
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	4
Median length	1
Mean length	1.4498
Min length	1

Characters and Unicode

Total characters	14498
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	1.1%

Sample

1st row	5.6k
2nd row	3.8k
3rd row	3.3k
4th row	3.3k
5th row	1.7k

Value	Count	Frequency (%)
3	837	8.4%
4	826	8.3%
5	777	7.8%
2	754	7.5%
6	627	6.3%
1	588	5.9%
7	557	5.6%
8	457	4.6%
9	411	4.1%
10	319	3.2%
Other values (271)	3847	38.5%

Most occurring characters

Value	Count	Frequency (%)
1	3287	22.7%
2	1945	13.4%
3	1666	11.5%
4	1478	10.2%
5	1296	8.9%
6	1081	7.5%
7	945	6.5%
8	782	5.4%
9	746	5.1%
0	624	4.3%
Other values (3)	648	4.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14498	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	3287	22.7%
2	1945	13.4%
3	1666	11.5%
4	1478	10.2%
5	1296	8.9%
6	1081	7.5%
7	945	6.5%
8	782	5.4%
9	746	5.1%
0	624	4.3%
Other values (3)	648	4.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14498	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	3287	22.7%
2	1945	13.4%
3	1666	11.5%
4	1478	10.2%
5	1296	8.9%
6	1081	7.5%
7	945	6.5%
8	782	5.4%
9	746	5.1%
0	624	4.3%
Other values (3)	648	4.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14498	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	3287	22.7%
2	1945	13.4%
3	1666	11.5%
4	1478	10.2%
5	1296	8.9%
6	1081	7.5%
7	945	6.5%
8	782	5.4%
9	746	5.1%
0	624	4.3%
Other values (3)	648	4.5%

jobs
Text

Distinct	296
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	4
Median length	2
Mean length	1.7261
Min length	1

Characters and Unicode

Total characters	17261
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	121 ?
Unique (%)	1.2%

Sample

1st row	213
2nd row	4.1k
3rd row	497
4th row	316
5th row	214

Value	Count	Frequency (%)
	4054	40.5%
1	719	7.2%
2	548	5.5%
3	415	4.2%
4	327	3.3%
5	279	2.8%
6	242	2.4%
8	208	2.1%
7	197	2.0%
9	168	1.7%
Other values (286)	2843	28.4%

Most occurring characters

Value	Count	Frequency (%)
-	8108	47.0%
1	2388	13.8%
2	1431	8.3%
3	1122	6.5%
4	861	5.0%
5	714	4.1%
6	651	3.8%
8	553	3.2%
7	551	3.2%
9	436	2.5%
Other values (3)	446	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17261	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	8108	47.0%
1	2388	13.8%
2	1431	8.3%
3	1122	6.5%
4	861	5.0%
5	714	4.1%
6	651	3.8%
8	553	3.2%
7	551	3.2%
9	436	2.5%
Other values (3)	446	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17261	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	8108	47.0%
1	2388	13.8%
2	1431	8.3%
3	1122	6.5%
4	861	5.0%
5	714	4.1%
6	651	3.8%
8	553	3.2%
7	551	3.2%
9	436	2.5%
Other values (3)	446	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17261	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	8108	47.0%
1	2388	13.8%
2	1431	8.3%
3	1122	6.5%
4	861	5.0%
5	714	4.1%
6	651	3.8%
8	553	3.2%
7	551	3.2%
9	436	2.5%
Other values (3)	446	2.6%

benefits
Text

Distinct	473
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Length

Max length	5
Median length	2
Mean length	1.906
Min length	1

Characters and Unicode

Total characters	19060
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	182 ?
Unique (%)	1.8%

Sample

1st row	11.3k
2nd row	7k
3rd row	5.7k
4th row	4.9k
5th row	3.7k

Value	Count	Frequency (%)
9	414	4.1%
11	405	4.0%
13	399	4.0%
12	384	3.8%
10	376	3.8%
8	345	3.5%
14	335	3.4%
15	333	3.3%
7	308	3.1%
6	276	2.8%
Other values (463)	6425	64.2%

Most occurring characters

Value	Count	Frequency (%)
1	4936	25.9%
2	2823	14.8%
3	2008	10.5%
4	1574	8.3%
5	1469	7.7%
6	1356	7.1%
9	1228	6.4%
8	1214	6.4%
7	1199	6.3%
0	1079	5.7%
Other values (3)	174	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19060	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	4936	25.9%
2	2823	14.8%
3	2008	10.5%
4	1574	8.3%
5	1469	7.7%
6	1356	7.1%
9	1228	6.4%
8	1214	6.4%
7	1199	6.3%
0	1079	5.7%
Other values (3)	174	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19060	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	4936	25.9%
2	2823	14.8%
3	2008	10.5%
4	1574	8.3%
5	1469	7.7%
6	1356	7.1%
9	1228	6.4%
8	1214	6.4%
7	1199	6.3%
0	1079	5.7%
Other values (3)	174	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19060	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	4936	25.9%
2	2823	14.8%
3	2008	10.5%
4	1574	8.3%
5	1469	7.7%
6	1356	7.1%
9	1228	6.4%
8	1214	6.4%
7	1199	6.3%
0	1079	5.7%
Other values (3)	174	0.9%

	employee_count	ownership_status	rating
employee_count	1.000	0.135	0.081
ownership_status	0.135	1.000	0.144
rating	0.081	0.144	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	name	rating	company_type	employee_count	ownership_status	company_age	head_quarters	reviews	salaries	interviews	jobs	benefits
0	TCS	3.8	IT Services & Consulting	1 Lakh+ Employees	Public	55 years old	Mumbai	66.7k	734.8k	5.6k	213	11.3k
1	Accenture	4.1	IT Services & Consulting	1 Lakh+ Employees	Public	34 years old	Dublin	42.5k	513.4k	3.8k	4.1k	7k
2	Cognizant	3.9	IT Services & Consulting	1 Lakh+ Employees	Forbes Global 2000	29 years old	Teaneck. New Jersey.	38.4k	496.8k	3.3k	497	5.7k
3	Wipro	3.8	IT Services & Consulting	1 Lakh+ Employees	Public	78 years old	Bangalore/Bengaluru	35.4k	370.3k	3.3k	316	4.9k
4	ICICI Bank	4.0	Banking	1 Lakh+ Employees	Public	29 years old	Mumbai	30.9k	136.1k	1.7k	214	3.7k
5	HDFC Bank	3.9	Banking	1 Lakh+ Employees	Public	29 years old	Mumbai	30.6k	123.6k	1.4k	376	3.2k
6	Infosys	3.9	IT Services & Consulting	1 Lakh+ Employees	Public	42 years old	Bengaluru/Bangalore	29.1k	413.1k	4.5k	779	5k
7	Capgemini	3.8	IT Services & Consulting	1 Lakh+ Employees	Public	56 years old	Paris	27k	336.6k	2.3k	512	3.9k
8	Tech Mahindra	3.7	IT Services & Consulting	1 Lakh+ Employees	Public	37 years old	Pune	25.3k	236.3k	2.2k	1.1k	3.5k
9	HCLTech	3.7	IT Services & Consulting	1 Lakh+ Employees	Public	32 years old	Noida	24.8k	251.9k	2.2k	574	4k

	name	rating	company_type	employee_count	ownership_status	company_age	head_quarters	reviews	salaries	interviews	jobs	benefits
9990	Calcutta High Court	4.5	Law Enforcement & Security \| Public	NaN	Public	161 years old	Kolkata	66	578	1	--	4
9991	TSMT Technology India	2.8	Semiconductors	201-500 Employees	NaN	26 years old	Taoyuan	66	519	2	7	8
9992	Contizant Technologies	4.1	IT Services & Consulting	11-50 Employees	NaN	5 years old	Gurgaon/Gurugram	66	385	13	--	17
9993	JBM Auto Limited Bus Division	3.1	NaN	NaN	NaN	NaN	NaN	66	173	9	--	5
9994	Ecolog International	4.6	Logistics	10k-50k Employees	NaN	20 years old	Düsseldorf	66	62	--	--	14
9995	Advocate	4.3	IT Services & Consulting	201-500 Employees	NaN	22 years old	Atlanta	66	605	4	--	9
9996	Adamas University	3.0	Education & Training	51-200 Employees	NaN	9 years old	Kolkata	66	342	6	--	7
9997	Nagarjuna Cements	4.0	Engineering & Construction	501-1k Employees	NaN	28 years old	Hyderabad	66	381	2	--	7
9998	Cumi Murugappa	4.1	NaN	NaN	NaN	NaN	NaN	66	476	5	--	5
9999	Success Pact Consulting	3.1	Recruitment	51-200 Employees	NaN	12 years old	Noida	66	223	--	117	13

Most frequently occurring

	name	rating	company_type	employee_count	ownership_status	company_age	head_quarters	reviews	salaries	interviews	jobs	benefits	# duplicates
0	20Cube Logistics	3.6	Logistics	51-200 Employees	NaN	12 years old	Singapore	106	731	10	50	15	2
1	6Sense	3.9	Software Product	201-500 Employees	Startup	10 years old	San Francisco	72	304	3	24	40	2
2	A.t.e. Enterprises	4.0	Industrial Machinery	1k-5k Employees	NaN	84 years old	Mumbai	94	667	6	6	11	2
3	ABB GISL	4.2	Electrical Equipment	1k-5k Employees	NaN	NaN	NaN	91	659	4	--	24	2
4	ACN Health care	3.5	Healthcare	11-50 Employees	NaN	12 years old	Bangalore/Bengaluru	119	786	1	--	12	2
5	AG&P Pratham	3.9	NaN	NaN	NaN	NaN	NaN	75	366	12	--	9	2
6	AGROCEL INDUSTRIES	4.5	Chemicals	51-200 Employees	NaN	38 years old	Mumbai	103	474	7	--	9	2
7	ANAAMALAIS TOYOTA	4.3	Financial Services	1k-5k Employees	NaN	23 years old	Coimbatore	68	245	3	--	10	2
8	ASC Technology Solutions	4.6	NaN	51-200 Employees	NaN	NaN	NaN	71	82	2	--	3	2
9	ATC Telecom Infrastructure	4.1	Telecom	201-500 Employees	NaN	19 years old	New Delhi	197	753	7	--	27	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories